We introduce PREDATOR, a model for pairwise pointcloud registration with deep attention
to the overlap region. Different from previous work, our model is specifically designed to …

Tracking pixels in videos is typically studied as an optical flow estimation problem, where
every pixel is described with a displacement vector that locates it in the next frame. Even …

Abstract Scene Graph Generation, which generally follows a regular encoder-decoder
pipeline, aims to first encode the visual contents within the given image and then parse them …

Camera localization involves the estimation of the camera pose of an image from a random
scene. We used a single image or sequence of images or videos as the input. The output …

Feature matching is a challenging computer vision task that involves finding
correspondences between two images of a 3D scene. In this paper we consider the dense …

Establishing dense correspondences between a pair of images is an important and general
problem. However, dense flow estimation is often inaccurate in the case of large …

Abstract Reference-based Super-Resolution (Ref-SR) has recently emerged as a promising
paradigm to enhance a low-resolution (LR) input image by introducing an additional high …

We introduce a novel approach for keypoint detection that combines handcrafted and
learned CNN filters within a shallow multi-scale architecture. Handcrafted filters provide …

Weakly supervised learning can help local feature methods to overcome the obstacle of
acquiring a large-scale dataset with densely labeled correspondences. However, since …

Multi-modal remote sensing image (MRSI) has nonlinear radiation distortion (NRD) and
significant contrast differences to which image gradient features are usually sensitive …